基于图像运动区域的红外多行人跟踪

针对红外视频监控中的多行人跟踪问题,提出了一种基于图像运动区域的跟踪算法。首先应用三维中值滤波方法建立背景模型，然后使用背景差分法得到运动区域；基于运动区域之间特定的匹配准则，建立帧间运动区域匹配矩阵，从而实现目标的跟踪。使用实际红外图像序列进行测试，该算法鲁棒性好，能够快速有效地实现多行人的跟踪。

Region-based multi-pedestrian tracking in infrared images

One method is presented in the paper to perform multi-pedestrian tracking in infrared video surveillance,based on the moving region in the images.Firstly,the background model is built by the 3D median filter,and the background-subtraction method is used to detect moving regions.Secondly,one matrix is created between two sequential frames using the match criterion between moving regions and finally the tracking is realized depending on the matrix.According to the test result by infrared image series,the method is robust and can track pedestrians fast and effectively.